How Intelligent Automation Reshaped a Global Finance Back Office
Denmark
Challenge
An international financial services company was struggling with a rapidly growing volume of back-office operations, and manual work was becoming a serious bottleneck. Teams processed thousands of loan applications, reconciliations and compliance checks every day, using dozens of legacy systems that did not talk to each other. Error rates were rising, deadlines were missed, and regulatory pressure increased the stress on employees.
Employees manually retyped data from PDF applications into core banking systems, consuming entire teams for hours every day and generating frequent mistakes. Daily account reconciliations between internal ledgers and external payment networks required analysts to spend hours comparing spreadsheets, identifying mismatches and preparing adjustment entries. The company operated in a heavily regulated environment where every process had to be traceable and compliant.
Solution
Radner's team designed and implemented a comprehensive automation solution combining robotic process automation (RPA) and AI-driven decision support across the back-office operations.
The solution included:
- Diagnostic mapping of over 120 distinct processes across credit operations, payments, and regulatory reporting
- Design of automation solution combining OCR, RPA and AI-based validation for loan origination
- Implementation of hybrid model with robots handling routine tasks and humans managing exceptions
- Development of modular RPA components for system integration, data processing, and workflow management
- Training of AI classification models to detect potentially risky loan applications
- Automation of daily account reconciliations with intelligent exception handling
- Establishment of internal Center of Excellence for automation governance
- Integration of AI models for customer onboarding, KYC checks, and sanctions screening
- Implementation of comprehensive monitoring dashboards and automated alerts
- Development of explainable AI components to satisfy regulatory requirements
Results
The intelligent automation transformation delivered substantial improvements across all operations:
- Average loan application handling time reduced by 60% within the first month
- Manual rework decreased significantly due to consistent rule enforcement by robots
- Back-office operating costs reduced by double-digit percentages within two years
- Error-related losses and regulatory fines decreased substantially
- Audit findings related to process weaknesses were significantly reduced
- Employee satisfaction improved as monotonous tasks were automated
- Processing volume increased while maintaining higher accuracy and compliance
- False positives in transaction monitoring reduced through AI-powered alert prioritization
- Customer onboarding time reduced while maintaining thorough compliance checks
- The organization transformed from reactive firefighting to proactive process optimization
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